Applying Structural Equation Modeling (SEM) in Educational Research

En este artículo se abordarán dos temas relevantes; el primero de ellos se refiere a las causas que explicarían el bajo impacto de la investigación educativa (IE) en la práctica docente (PD) y el segundo, relacionado con la generación de un índice que mida el impacto que tiene la investigación sobre la docencia usando el índice de Fornell. Para lo anterior, se contempló una muestra de 179 individuos, 62 universitarios y 117 docentes no universitarios. Mediante un análisis secundario, y producto de la utilización de ecuaciones estructurales, se identifica un modelo que mostró que la percepción sobre el diagnóstico del impacto de la investigación educativa sobre la práctica de los docentes (IE-PD), explicaba en forma directa la comprensión del fenómeno impacto. El índice de impacto de la IE-PD fue de un 60,23% en contra, que muestra una tendencia de los docentes a considerar no sustantivo el aporte de la Investigación Educativa para su práctica docente. This article will discuss two important subjects. The first is the model of the impact of educational research on teaching practice. The second is the creation of an index that measures the impact of educational research on teaching practice, using structural equation modeling. This study looked at a sample of 179 individuals, of which 62 were university teachers and 117 were non-university teachers. Through a secondary analysis of the data, the different stages of construct validity were developed and structural equation modeling, obtaining a model covered by three constructs represented by 15 items. The model showed that the perception of the diagnosis of the impact of educational research on the practice of teachers directly explained the understanding of the impact phenomenon. The impact index EI-PD was 60.23%, showing that teachers do not substantially consider the contribution of educational research on teaching practice.

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Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

Journal of Individual Differences ◽

10.1027/1614-0001/a000135 ◽

2014 ◽

Vol 35 (4) ◽

pp. 201-211 ◽

Cited By ~ 3

Author(s):

André Beauducel ◽

Anja Leue

Keyword(s):

Structural Equation Modeling ◽

Negative Correlation ◽

Structural Equation ◽

Error Score ◽

Classical Test Theory ◽

Test Theory ◽

Equation Modeling ◽

Eysenck Personality Questionnaire ◽

Personality Questionnaire ◽

True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

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The Measurement Invariance of the Short Dark Triad

Journal of Individual Differences ◽

10.1027/1614-0001/a000322 ◽

2020 ◽

Vol 41 (4) ◽

pp. 207-218

Author(s):

Mihaela Grigoraș ◽

Andreea Butucescu ◽

Amalia Miulescu ◽

Cristian Opariuc-Dan ◽

Dragoș Iliescu

Keyword(s):

Structural Equation Modeling ◽

Item Response ◽

Structural Equation ◽

Dark Triad ◽

Theory And Practice ◽

Equation Modeling ◽

Scale Level ◽

High Stake ◽

Differential Functioning ◽

Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

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Childhood Intelligence Predicts Adult Trait Openness

Journal of Individual Differences ◽

10.1027/1614-0001/a000194 ◽

2016 ◽

Vol 37 (2) ◽

pp. 105-111 ◽

Cited By ~ 6

Author(s):

Adrian Furnham ◽

Helen Cheng

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Social Background ◽

Study Data ◽

Equation Modeling ◽

Direct Effects ◽

Data Set ◽

National Child Development Study ◽

Nationally Representative ◽

The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

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Celebrity Worship Among University Students in Malaysia

European Psychologist ◽

10.1027/1016-9040/a000029 ◽

2011 ◽

Vol 16 (4) ◽

pp. 334-342 ◽

Cited By ~ 5

Author(s):

Viren Swami ◽

Tomas Chamorro-Premuzic ◽

Khairul Mastor ◽

Fatin Hazwani Siran ◽

Mohammad Mohsein Mohammad Said ◽

...

Keyword(s):

Factor Analysis ◽

Structural Equation Modeling ◽

Structural Equation ◽

Attitude Scale ◽

Equation Modeling ◽

Future Research ◽

The West ◽

Factor Solution ◽

Movie Stars ◽

Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

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